similar to: Principal comp. scores in R

Hi I have used fa() to perform a factor analysis of a psychological battery which is thought to have 11 factors. I can identify which factors the loadings relate to easily enough because I can see which items are loading onto each of the columns in the $loading output. However, how can I identify which items or loadings are being used to create each of the columns in the $scores output? I have

(Embedded image moved to file: pic10389.pcx) NVC for Domino Virus Warning This is an automatically generated message. A possible virus, 'Yaha.E@mm', was detected in attachment 'Neu_Textdokument.zip_.scr' in document '[Samba] Neu Textdokument'. Database: 'KAWILK01 Mailbox'. Document was apparently created on '26.01.2003 17:45:16' by

Dear All, It might be a simple question. But I could not find the answer from function “prcomp” or “princomp”. Does anyone know what are the codes to get coefficient and scores of Principal component analysis in R? Your reply will be appreciated! Best Zunqiu [[alternative HTML version deleted]]

I've experienced something like this, as well. Though I don't know if this will help, I would make sure that your NT username(s) are appropriately mapped to unix users. You may not be able to view the properties because the permissions/mapped user are mixed up. You can check this by doing a smbstatus - the user names listed as connected are the unix usernames that have been mapped to.

Dear R People, I'm working on a plot function to produce the graph shown below. One of the features my supervisor does not like is that the labels in the Y- axix are shown vertically. Is there a way to change that to horizontally ? This is the axix() function I used : axis(2,at=seq(nstrat),labels=snames) The labels (snames) are: SEV1:HU:C, SEV1:MU:C, SEV1:MU:L, SEV1:RT:C and SEV1:RT:L,

Dear R-help, Under Win98se, the mere presence of this character, ² (Alt+0178), causes R 1.6 to crash, but only when it is in an object displayed to the console. >x<-"²" #no problem >x R crashes with Illegal operation message graham lawrence

Hello, I am currently trying to get the gfxboot archive from Ubuntu 12.04 working with gfxboot.c32 under BIOS, using ISOLINUX 6. AFAIK, the Ubuntu patches have been added in 4.03, and in fact it works with the official 4.05 release, but not with 5.10 or 6.01-pre5. I can tell that the menu is actually working, you just don't see it. If you navigate it "blind", the correct

Hello, I have a FreeBSD 4.5-RELEASE box running the SAMBA 2.2.4_1 port. I have successfully added a printer driver to the unit, and when connecting from a Windows 2000 client, I get the driver successfully installed. I then converted the system to a PDC and added a test machine to it's domain. I can connect to the printer, it downloads drivers, but when I choose printer properties, I get:

it just says /usr/sbin/swat.new Aborted when i run it from the command line. nothing i can see in the logs... The swat binary from a 2 week old head now (with the rest of the installation from today's head) seems to work okay. what's going on with swat - did i screw up the build? Are others also having problems? (nothing in the marc) brad

Dear all, I've used the 'prcomp' command to calculate the eigenvalues and eigenvectors of a matrix(gg). Using the command 'principal' from the 'psych' package  I've performed the same exercise. I got the same eigenvalues but different eigenvectors. Is there any reason for that difference? Below are the steps I've followed: 1. PRCOMP #defining the matrix

Dear listserv, I am trying to perform a principal components analysis and create an output table of the eigenvalues for the dependent variables. What I want is to see which variables are driving each principal components axis, so I can make statements like, "PC1 mostly refers to seed size" or something like that. For instance, if I try the example from ?prcomp > prcomp(USArrests,

May be a simple question, but not understanding why in princomp I get different results for loadings and summary for my eigenvectors and eigenvalues. When I use pc.cr$loadings using the USArrests dataset the proportion of variance is equal for each of the components, but when summary(pc.cr) is used the proportion of variance is showing different proportions. My question is why do they differ? I

On Thu, 04 Jul, at 08:45:33AM, Andreas Heinlein wrote: > Looks like you're right. I added '*.tr *.hlp *.pcx back.jpg > gfxboot.cfg langlist' to the 'bootlogo' archive, and now I get the > menu, and everything seems to work! > > If that's really the only problem, I wouldn't consider this a bug. > IIRC, the 'unpacked' form of gfxboot archives is

Greetings ... Please could someone confirm that Samba 2.2.x and Samba 3.0 ( Head ) does not support Trusts between domains. Thanks Mailed Lee

Full_Name: Sahotra Sarkar Version: 2.2.0 OS: Windows XP Professional Submission from: (NULL) (146.6.130.180) The following two commands should give the same results for the eigenvectors but do not (there is a sign reversal for the first one): > summary(princomp(bumpus),loading = TRUE) Importance of components: Comp.1 Comp.2 Comp.3 Comp.4 Comp.5

(Embedded image moved Geert Jansen <g_jansen@geert.co.uk> to file: 06/06/2002 01:55 PM pic04528.pcx) (Embedded image moved Geert Jansen

(Embedded image moved Geert Jansen <g_jansen@geert.co.uk> to file: 06/06/2002 01:55 PM pic18844.pcx) (Embedded image moved "Geert Jansen"

Hi. I have been looking at the PCAproj function in package pcaPP (R 2.4.1) for robust principal components, and I'm trying to interpret the results. I started with a data matrix of dimensions RxC (R is the number of rows / observations, C the number of columns / variables). PCAproj returns a list of class princomp, similar to the output of the function princomp. In a case where I can

Dear all, I am trying to find the PCs of a spatial data set (single variable). I want to calculate the PCs at each Lat-Lon location. The* 'princomp'* command gives the approximate standardized data (i.e* pca$scores*), stranded deviation ..etc. I tried* 'pca$loadings'*also, but it giving value 1 all time. Then I tried manually(without using* princomb*

A package I have written makes considerable use of external C code. There appear to be no problems building a Windows binary with the GNU C compiler, but now I would like to make the package available for other platforms. A stringent check of the code with the gcc options '-Wall -pedantic' flags many nested functions and variable-length arrays that are not allowed in ISO C. Is it